Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Anguilla

Anguilla: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 0.8 million SLC in 2023. ▲ Rising

Latest (2023)
0.8 million SLC
Change on year
up 21.1%
World rank
174th
of 181 countries
All-time high
0.9727 million SLC
in 2010
All-time low
0.3548 million SLC
in 1997
Years of data
29
1995–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Anguilla, 1995–2023

00.20.40.60.811995200920231995: 0.363 million SLC1996: 0.36 million SLC1997: 0.355 million SLC1998: 0.359 million SLC1999: 0.395 million SLC2000: 0.447 million SLC2001: 0.484 million SLC2002: 0.493 million SLC2003: 0.491 million SLC2004: 0.506 million SLC2005: 0.55 million SLC2006: 0.621 million SLC2007: 0.73 million SLC2008: 0.875 million SLC2009: 0.964 million SLC2010: 0.973 million SLC2011: 0.946 million SLC2012: 0.896 million SLC2013: 0.858 million SLC2014: 0.845 million SLC2015: 0.845 million SLC2016: 0.823 million SLC2017: 0.795 million SLC2018: 0.775 million SLC2019: 0.753 million SLC2020: 0.726 million SLC2021: 0.693 million SLC2022: 0.66 million SLC2023: 0.8 million SLC

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

In 2023, consumption of fixed capital (agriculture, forestry and fishing) in Anguilla stood at 0.8 million SLC.

That represents a change of up 21.1% on the previous year and down 6.7% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Anguilla peaked at 0.9727 million SLC in 2010 and was at its lowest, 0.3548 million SLC, in 1997.

That places Anguilla 174th out of 181 countries with data for 2023, putting it in the bottom quarter.

The long-run direction has been consistently rising across the 29 years of available data.

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Anguilla, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Anguilla, 1995 to 2023.
Year million SLC Change
1995 0.3628 million SLC
1996 0.3602 million SLC -0.7%
1997 0.3548 million SLC -1.5%
1998 0.3591 million SLC +1.2%
1999 0.3948 million SLC +10.0%
2000 0.4467 million SLC +13.1%
2001 0.4838 million SLC +8.3%
2002 0.4934 million SLC +2.0%
2003 0.491 million SLC -0.5%
2004 0.5058 million SLC +3.0%
2005 0.5499 million SLC +8.7%
2006 0.6214 million SLC +13.0%
2007 0.73 million SLC +17.5%
2008 0.8749 million SLC +19.9%
2009 0.964 million SLC +10.2%
2010 0.9727 million SLC +0.9%
2011 0.9458 million SLC -2.8%
2012 0.8956 million SLC -5.3%
2013 0.8576 million SLC -4.2%
2014 0.8445 million SLC -1.5%
2015 0.8452 million SLC +0.1%
2016 0.8229 million SLC -2.6%
2017 0.7945 million SLC -3.4%
2018 0.7754 million SLC -2.4%
2019 0.7526 million SLC -2.9%
2020 0.7264 million SLC -3.5%
2021 0.6929 million SLC -4.6%
2022 0.6605 million SLC -4.7%
2023 0.8 million SLC +21.1%

Averages by decade

DecadeAverage LowestHighest Years
1990s 0.3664 million SLC 0.3548 million SLC 0.3948 million SLC 5
2000s 0.6161 million SLC 0.4467 million SLC 0.964 million SLC 10
2010s 0.8507 million SLC 0.7526 million SLC 0.9727 million SLC 10
2020s 0.7199 million SLC 0.6605 million SLC 0.8 million SLC 4

Countries ranked near Anguilla

  1. 171 Curaçao 2.28 million SLC compare
  2. 172 Bahrain 1.7 million SLC compare
  3. 173 Andorra 1.21 million SLC compare
  4. 175 Cayman Islands 0.66 million SLC compare
  5. 176 Bermuda 0.5 million SLC compare
  6. 177 Palau 0.43 million SLC compare

See the full ranking of 194 places →

More environment data for Anguilla

All data for Anguilla →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Anguilla?
Consumption of fixed capital (agriculture, forestry and fishing) in Anguilla was 0.8 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in Anguilla?
The highest recorded value was 0.9727 million SLC in 2010.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Anguilla?
The lowest recorded value was 0.3548 million SLC in 1997.
How does Anguilla rank for consumption of fixed capital (agriculture, forestry and fishing)?
Anguilla ranks 174th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Anguilla?
Over the last ten years it is down 6.7%. The long-run trend across the full record is rising.
Where does this Anguilla data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Anguilla. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 07 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local-2/anguilla/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,511 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.